Strategic advice & alerts to leverage data analytics & new technologies

Leverage data and the technologies that generate it, from ML, IA, NLP, blockchain, IoT, and emerging tech; to data science, data visualization, predictive modeling; to data quality, data governance, and data architecture.

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Cloud computing, with its scalability and relatively low cost, has traditionally been the technology environment of choice for supporting digital twins. Today, edge computing has emerged as a promising alternative. This Advisor explores the benefits of edge computing over cloud computing.
Neural networks and other machine learning (ML) model development typically requires large amounts of data for training and testing purposes. Because much of this data is historical, there is the chance that the artificial intelligence (AI) models could learn existing prejudices pertaining to gender, race, age, sexual orientation, and other biases. This Advisor explores these and other issues around data that can also contribute to biases and inaccuracies in ML algorithms.
In Part I of this Advisor series, I argued that data doesn’t “go bad” in the colloquial use of that phrase; rather, it is adulterated by the addition of dubious intent on the part of its collectors and/or users. That intent usually takes the form of reusing or repurposing data already collected to drive a different goal than that for which it was originally gathered. Here in Part II, we look at a couple of examples of these practices.
In Part V of this Executive Update series on intelligent process automation (IPA) in the enterprise, we examine findings pertaining to the technologies surveyed organizations are interested in adopting to support their IPA initiatives.
In this Executive Update, we explore how business architecture can help define data architecture, delivering transparency across a number of related business domains.
Various AI technologies, including ML, predictive analytics, NLP, and image recognition, are helping to reshape procurement operations. These developments are most apparent in the emergence of AI-powered cloud procurement platforms. This Advisor provides some example use cases of how AI is now utilized to automate and optimize procurement activities.
Many cities are now pursuing smart sustainable city strategies with the aim of enhancing their performance; optimizing their infrastructures, processes, and services; and improving residents’ quality of life. Recognizing the potential of digital twins, smart sus­tain­able cities are experimenting with these technology solutions. This Advisor highlights a few ways smart sustainable cities can leverage digital twin technology.
Microsoft buying Nuance Communications — a leader in natural language processing (NLP) and speech-powered solutions — for US $19.7 billion is the most important artificial intelligence (AI)–related acquisition to take place so far this year.